AI Product Engineering · Consultation

Break operationalbottlenecks withAI Infrastructure

Get a free, AI-generated diagnostic of your biggest operational bottleneck — then our pods build the production AI infrastructure that fixes it, with you, in 8 weeks. Built for mid-market companies across the EU and US.

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diagnostic-preview.mdready
Fill in the intake or chat with the AI — the preview shows your diagnostic.
It maps the bottleneck and scopes the software + AI we'd build with you to fix it. No call required.
≥60%Diagnostic → Build
2 wksFirst deliverable
8 wksTo production

We specialize in AI models, experience design, and end-to-end product engineering

Epidom
Claude
Vercel
The Lead Agent
Expeditoo
Stripe
01 · HOW WE WORK

A pod beats a hire, every time.

METRIC
IN-HOUSE HIRE
PRIONATION POD
Time to value
4–6 months to hire + ramp
8 weeks to production
Cost (first deliverable)
€120–180K/year fully loaded
€25–55K fixed per project
What you get
One person
A pod, 2–3 AI Product Engineers
Scope risk
Unlimited ongoing changes
Tight scope contract from Day 1
Retainer cost
≈ one engineer/year = €120K+
€4–9K/month for the full pod
Risk
Bad hire = 6 months + €50K wasted
Walk away after Diagnostic
02 · METHODOLOGY

AI NATIVE ENGINEERING DISCIPLINE.

Engineering principles
/01

Evals before features.

We write the test suite before we write the prompt. Production AI without evals is a demo waiting to fail.

/02

Telemetry from day one.

Production data drives the next iteration. "The model is wrong" is unfalsifiable without instrumentation, so we instrument first.

/03

Owned infrastructure.

You hold the keys: code, hosting, data, models. Our value is the build discipline, not infrastructure lock-in.

/04

Lean pods, fixed clocks.

Two to three engineers, one eight-week delivery unit. Small teams on a fixed clock keep scope honest and a fixed price possible.

03 · SELECTED WORK

PROVEN OPERATIONAL TRANSFORMATIONS.

View archive
F&B · DASHBOARD2026
EPIDOM
EPIDOM
🇫🇷 FRANCE · EUROPE

Built a production operations dashboard for a European F&B operator. Centralises real-time data across locations, replacing fragmented manual tracking with a single decision surface for operators and managers.

VIEW PROJECT LIVE DEMO
LOGISTICS · MARKETPLACE2025
EXPEDITOO
EXPEDITOO
🇫🇷 FRANCE · EUROPE

Engineered a logistics and auction marketplace combining bidding mechanics and shipment tracking into a single application. Demonstrates full-stack capability across complex business logic.

VIEW PROJECT LIVE DEMO
REAL ESTATE · LEAD GEN2026
The Lead Agent
The Lead Agent
🇦🇺 AUSTRALIA

Built a full lead generation and appointment-setting platform for a real estate agency. Delivered a client-facing web system that automates pipeline management for ambitious estate agents operating across AU.

VIEW PROJECT LIVE DEMO
04 · PRICING

Fixed scope, zero surprises.

SKU 1 · Diagnostic

Diagnostic

5–7Kfixed · 2 weeks

Map the bottleneck. Get the build spec. Sign without procurement.

  • Embed with ops & engineering
  • Target users + data inventory
  • System architecture design
  • Eval criteria + ROI projection
  • 8-week build plan
  • 15–25 page doc + 90-min readout
Most Popular
SKU 2 · Build

Build

25–55Kfixed · 8 weeks

Ship production AI. Fixed scope, protected by the Diagnostic contract.

  • 2–3 AI Product Engineers
  • Production-deployed software
  • Eval harness + regression suite
  • Telemetry & monitoring
  • Runbook + handoff documentation
  • 4-week post-launch warranty
SKU 3 · Retainer

Retainer

4–9K/month · min. 6 months

Ongoing pod access. The only SKU that compounds.

  • Eval suite maintenance
  • Drift detection
  • Prompt & model upgrades
  • 1 new feature shipped/month
  • Quarterly business reviews
  • Continuous ROI tracking

Express Site

NEW

3-page Next.js site, contact form, SEO, Vercel deploy, 5 business days.

€1,500 base
05 · THE FOUNDATION

WORLD-CLASS PRODUCT, BUILT IN BALI.

Internal Finance
Darwin Prayoga
ROLE · FOUNDER / CEO

Darwin Prayoga

Founder & CEO

Indonesian technologist and product architect. Former lead at several high-growth startups across SEA. Orchestrates the PRIONATION transformation, owning vision and product strategy.

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Evan Cao
ROLE · CRO

Evan Cao

Chief Revenue Officer

Paris-based operator and founder of Epidom. Expert in European mid-market expansion and strategic partnerships. Bridging the gap between Asian delivery and European demand.

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The Delivery Pod

AI PRODUCT ENGINEERING

A flexible unit of 2–3 AI Product Engineers. Domain experts converted into AI-native operators, shipping production-ready infrastructure end-to-end.

06 · CONNECT US

SOLVE YOUR BOTTLENECK TODAY.

Start a Diagnostic

Scope your first AI transformation project with a 2-week Diagnostic.

Our Clients Say

4.5 / 5
We were drowning in operational complexity, then this model turned it into production, in weeks.
Evan CaoEvan CaoCEO at Epidom
4 / 5
Our logistics ran on spreadsheets and guesswork. They turned it into a production AI system in weeks — and handed us the keys.
Nicolas RémyNicolas RémyBusiness owner of Expeditoo
4.5 / 5
They built lead-gen that works the way our agents actually sell, and had it live before most teams finish scoping.
LukeLukeFounder of The Lead Agent
Summary

PRIONATION.io builds production AI infrastructure for European and US-based mid-market companies (€5–50M revenue). Fixed scope. Fixed price. Lean pods. 8 weeks from signed to shipped. Starting at €5,000 for a 2-week Diagnostic.

07 · FAQ

Common questions

What is AI product engineering for mid-market companies?

AI product engineering is the practice of building production AI infrastructure — not proofs-of-concept — that operates within real business workflows. For mid-market companies (€5–50M revenue), it means shipping AI products that replace manual operations within a fixed 8-week timeline, with evals defining done and clients owning all code and infrastructure.

How much does an AI build engagement cost for a €10–50M company?

PRIONATION's AI build engagements run €25,000–55,000 for an 8-week production build. The process starts with a 2-week Diagnostic at €5,000–7,000 to map the bottleneck and confirm scope. Over 60% of Diagnostics proceed to a Build. Ongoing pod access runs €4,000–9,000/month.

What does 'client owns the infrastructure' mean in practice?

At the end of every engagement, the client holds the GitHub repository, the cloud infrastructure credentials, the model provider accounts, and all telemetry data. PRIONATION delivers into the client's environment from day one. When the retainer ends, the client keeps running independently.

How is a lean pod different from hiring an AI engineer?

A 3-person PRIONATION pod costs €25,000–55,000 per project, ships in 8 weeks, and comes with evals, telemetry, and a 4-week warranty. A single AI engineer hire costs €150,000–250,000/year loaded (salary + benefits + recruitment), takes 3–6 months to ramp, and carries significant hire-quality risk. The pod is the de-risked path until internal AI engineering capability scales.

What is the PRIONATION Diagnostic?

The Diagnostic is a 2-week fixed-scope engagement at €5,000–7,000. It maps the single highest-ROI operational bottleneck, defines the AI build scope, produces the eval suite specification, and delivers a production-ready architecture proposal. It is the required entry point before any Build engagement.

How does PRIONATION handle AI consulting for European companies?

PRIONATION serves EU-based mid-market companies from a remote-first structure (HQ Bali, CRO in Paris). All engagements are quoted in EUR. Client infrastructure remains within EU-compliant hosting where required. The foundation operates in English and French.

What is the post-launch warranty?

Every Build engagement includes a 4-week post-launch warranty. If production performance falls below the eval thresholds defined at the start of the build, PRIONATION fixes it at no additional cost.